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of cardiovascular specialty and subspecialty areas. The UWMC CV APP Fellowship is an intense, highly structured, comprehensive program through which newly licensed APPs will acquire in depth cardiovascular knowledge
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and magnetic data to map subsurface structures 3. Basin modelling, with knowledge of sedimentary processes and tectonic evolution The project would contribute to mapping the thickness of sedimentary
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to develop deep learning models for analyzing whole-slide histopathology images, as well as natural language processing (NLP) methods for clinical records such as pathology reports and electronic health data
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Science, Chemistry, Chemical Engineering, or relevant field. Experience morphological/structural techniques for materials characterization. Experience in characterization techniques such as electron
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Department of Molecular and Cellular Biology, Harvard University https://projects.iq.harvard.edu/bellonolab Explore molecular mechanisms underlying unique adaptations and behaviors. Fellows have freedom to ask
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one quarter of our staff are post-docs, post-graduates or apprentices. Altogether, PSI employs 2300 people. The Structure and Mechanics of Advanced Materials Group at PSI, part of the Center for Photon
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members are leaders in a wide range of experiments, including: investigations of the flavor and spin structure of the nucleon (STAR at RHIC, Belle II at KEK); studies of parity and time reversal violation
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prior notice. This position is subject to funding. All applicants must apply electronically to the currently posted position on the Office of Human Resources' job website (https://fau.edu/jobs) by
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of electrophysiological data, work closely with medicinal chemists to use structure-activity data to design new compounds, apply for fellowship funding, contribute to the writing of grants and manuscripts, participate in
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 3 days ago
simulations with data-driven machine learning approaches. By incorporating PINNs and vPINNs, the aim is to create robust numerical tools capable of simulating and predicting structural phenomena under different